Evaluation of ultralow‐dose computed tomography on detection of pulmonary nodules in overweight or obese adult patients
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13589
Abstract: Abstract Purpose To evaluate the accuracy of pulmonary nodule (PN) detection in overweight or obese adult patients using ultralow‐dose computed tomography (ULDCT) with tin filtration at 100 kV and advanced model‐based iterative reconstruction (ADMIRE). Methods… read more here.
Keywords: adult patients; nodule detection; dose; overweight obese ... See more keywords
Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.08.012
Abstract: BACKGROUND AND OBJECTIVE In pulmonary nodule detection, the first stage, candidate detection, aims to detect suspicious pulmonary nodules. However, detected candidates include many false positives and thus in the following stage, false positive reduction, such… read more here.
Keywords: pulmonary nodule; nodule; nodule detection; non nodules ... See more keywords
Automatic nodule detection for lung cancer in CT images: A review
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.10.033
Abstract: Automatic lung nodule detection has great significance for treating lung cancer and increasing patient survival. This work summarizes a critical review of recent techniques for automatic lung nodule detection in computed tomography images. This review… read more here.
Keywords: detection; nodule detection; images review; lung cancer ... See more keywords
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103871
Abstract: Thyroid cancer is the most common endocrine cancer and its incidence has continuously increased worldwide. In this paper, we focus on the challenging problem of nodule detection from ultrasound scans. In current clinical practice, this… read more here.
Keywords: detection; nodule detection; ultrasound imaging; automated thyroid ... See more keywords
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.022
Abstract: Abstract Detection of pulmonary nodules on chest CT is an essential step in the early diagnosis of lung cancer, which is critical for best patient care. In this paper, we propose an automated pulmonary nodule… read more here.
Keywords: detection; nodule detection; log filters; pulmonary nodule ... See more keywords
Attention-Guided Feature Extraction and Multiscale Feature Fusion 3D ResNet for Automated Pulmonary Nodule Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182104
Abstract: Automatic detection of pulmonary nodules is critical for the early diagnosis and prevention of lung cancer. Computed tomography (CT) is an effective and economical lung cancer detection method. In CT images, the size and shape… read more here.
Keywords: nodule detection; pulmonary nodule; feature; detection ... See more keywords
SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3253713
Abstract: Lung cancer is the leading cause of cancer death worldwide. The best solution for lung cancer is to diagnose the pulmonary nodules in the early stage, which is usually accomplished with the aid of thoracic… read more here.
Keywords: attention; slice grouped; nodule detection; pulmonary nodule ... See more keywords
Pulmonary Nodule Detection Based on Multiscale Feature Fusion
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/8903037
Abstract: As cancer with the highest morbidity and mortality in the world, lung cancer is characterized by pulmonary nodules in the early stage. The detection of pulmonary nodules is an important method for the early detection… read more here.
Keywords: based multiscale; nodule detection; detection; pulmonary nodules ... See more keywords
3D multi-scale deep convolutional neural networks for pulmonary nodule detection
Sign Up to like & getrecommendations! Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0244406
Abstract: With the rapid development of big data and artificial intelligence technology, computer-aided pulmonary nodule detection based on deep learning has achieved some successes. However, the sizes of pulmonary nodules vary greatly, and the pulmonary nodules… read more here.
Keywords: detection; network; nodule detection; pulmonary nodules ... See more keywords
BiRPN-YOLOvX: A weighted bidirectional recursive feature pyramid algorithm for lung nodule detection.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-221310
Abstract: BACKGROUND Lung cancer has the second highest cancer mortality rate in the world today. Although lung cancer screening using CT images is a common way for early lung cancer detection, accurately detecting lung nodules remains… read more here.
Keywords: weighted bidirectional; nodule detection; feature; lung ... See more keywords
How Many Private Data Are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14133174
Abstract: Simple Summary The early detection of lung nodules is important for patient treatment and follow-up. Many researchers are investigating deep-learning-based lung nodule detection to ease the burden of lung nodule detection by radiologists. The purpose… read more here.
Keywords: lung; deep learning; nodule detection; lung nodule ... See more keywords